Available to hire
Hi, I’m Farhan Azmi, a final-year B.Eng. (Hons.) ICT student at SIT with a passion for ML, NLP, and building scalable AI products. My internships and research span fleet optimization, speech technologies, and healthcare AI, where I enjoy turning data into actionable insights and shipping end-to-end solutions.
I’ve published as the first author at ICASLP 2025 on a joint ASR–LLM method for spoken NER, achieving a 78% macro-F1 improvement over a fine-tuned SpaCy baseline. I love collaborating with cross-functional teams and blending healthcare, education, and technology to create impactful solutions.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Language
Javanese
Advanced
English
Fluent
Work Experience
Student Researcher — Speech & Language Processing at Singapore Institute of Technology
June 1, 2025 - June 1, 2025First author of a paper accepted at the ICASLP 2025, proposing a joint ASR–LLM method (Whisper + GPT-4o) for spoken NER in noisy transcripts. Achieved 78% macro-F1 improvement over a fine-tuned SpaCy baseline in spoken entity recognition.
Student Researcher — Speech & Language Processing at Singapore Institute of Technology
June 1, 2025 - October 12, 2025First author of a paper accepted at the International Conference on Asian Language Processing 2025, proposing joint ASR–LLM method (Whisper + GPT-4o) for spoken NER in noisy transcripts. Achieved 78% macro-F1 improvement over fine-tuned SpaCy baseline in spoken entity recognition.
Student Researcher — Speech & Language Processing at Singapore Institute of Technology
June 1, 2025 - October 12, 2025First author of a paper accepted at the International Conference on Asian Language Processing 2025, proposing joint ASR–LLM method (Whisper + GPT-4o) for spoken NER in noisy transcripts; achieved 78% macro-F1 improvement over fine-tuned SpaCy baseline in spoken entity recognition.
Student Researcher — Speech & Language Processing at Singapore Institute of Technology
June 1, 2025 - October 12, 2025First author of a paper accepted at ICLP 2025, proposing a joint ASR–LLM method (Whisper + GPT-4o) for spoken NER in noisy transcripts. Achieved 78% macro-F1 improvement over a SpaCy baseline in spoken entity recognition.
Data Science & Engineering Intern at GetGo Technologies Pte. Ltd.
May 1, 2025 - November 12, 2025Built a fleet placement optimization system with React, FastAPI, and Databricks. Used a greedy allocation algorithm to rank vehicle locations by historical revenue, reducing decision cycles from three weeks to one. Processed 2.2M+ user sessions with PySpark to engineer behavioral and transactional features for a conversion propensity model. Incorporated the propensity-weighted demand into the placement algorithm to enable data-driven optimization capturing both realized and missed demand.
Data Science & Engineering Intern at GetGo Technologies Pte. Ltd.
May 1, 2025 - PresentBuilt and deployed a fleet placement optimization system using a greedy allocation algorithm to rank vehicle locations by historical revenue. Analyzed over 2.2 million user sessions with PySpark, applying PrefixSpan and Markov chain modeling to uncover behavioral patterns distinguishing converted from unconverted sessions. Trained a self-supervised GRU to learn session embeddings and fitted regression models (best: XGBoost, RMSE = 0.0135) to derive a continuous intent score. Integrated the intent-score metric into the placement algorithm, enabling data-driven optimization for both realized and unrealized demand.
Data Science & Engineering Intern at GetGo Technologies Pte. Ltd.
May 1, 2025 - PresentBuilt and deployed a fleet placement optimization system leveraging a greedy allocation algorithm to rank vehicle locations by historical revenue; analyzed 2.2M user sessions with PySpark; applied PrefixSpan and Markov chain modeling to distinguish converted from unconverted sessions; trained a self-supervised GRU to learn session embeddings and fitted regression models (best: XGBoost, RMSE = 0.0135) to derive a continuous intent score; integrated the intent-score metric into the placement algorithm to optimize for realized and unrealized demand.
Data Science & Engineering Intern at GetGo Technologies Pte. Ltd.
May 1, 2025 - PresentBuilt and deployed a fleet placement optimization system leveraging a greedy allocation algorithm to rank vehicle locations by historical revenue. Analyzed over 2.2 million user sessions with PySpark, applying PrefixSpan and Markov chain modeling to uncover behavioral patterns distinguishing converted from unconverted sessions. Trained a self-supervised GRU to learn session embeddings and fitted regression models (best: XGBoost, RMSE = 0.0135) to derive a continuous intent score. Integrated the intent-score metric into the placement algorithm, enabling data-driven optimization for both realized and unrealized demand.
AI Engineer Intern at AI Singapore
December 1, 2024 - December 1, 2024Built an end-to-end RAG system with Haystack for question-answering tasks. Implemented evaluation pipeline using LLM-as-a-Judge and synthetic-data generation for RAG assessment. Benchmarked vector databases (Milvus, Qdrant, Elasticsearch) on throughput and latency, selecting Milvus for its QPS and low-latency performance.
AI Engineer Intern at AI Singapore
December 1, 2024 - October 12, 2025Built an end-to-end RAG system with Haystack for Question-Answering tasks, achieving 85% answer relevancy. Implemented evaluation pipeline using LLM-as-a-Judge and synthetic-data generation for RAG assessment. Benchmarked vector DBs (Milvus, Qdrant, Elasticsearch) on throughput and latency, selecting Milvus for its QPS and low-latency performance. Collaborated across sprints to iterate RAG modules and present progress to clients during sprint reviews.
AI Engineer Intern at AI Singapore
December 1, 2024 - October 12, 2025Built an end-to-end RAG system with Haystack for Question-Answering tasks; implemented evaluation pipeline using LLM-as-a-Judge and synthetic-data generation for RAG assessment; benchmarked vector DBs (Milvus, Qdrant, Elasticsearch) on throughput and latency, selecting Milvus for its QPS and low-latency performance; collaborated across sprints to iterate RAG modules and present progress to clients during sprint reviews.
AI Engineer Intern at AI Singapore
December 1, 2024 - October 12, 2025Built an end-to-end RAG system with Haystack for Question-Answering tasks, achieving 85% answer relevancy. Implemented evaluation pipeline using LLM-as-a-Judge and synthetic-data generation for RAG assessment. Benchmarked vector databases (Milvus, Qdrant, Elasticsearch) on throughput and latency, selecting Milvus for its QPS and low-latency performance. Collaborated across sprints to iterate RAG modules and present progress to clients during sprint reviews.
AI Student Engineer at National University Health System (NUHS)
November 1, 2024 - November 1, 2024Architected and developed an AI-powered speech-therapy platform (Express.js backend, React Native client, React dashboard, PostgreSQL DB, OpenAI Whisper, OpenAI GPT-4o). Fine-tuned Whisper-Small model, improving Word Error Rate (WER). Deployed the fine-tuned Whisper model as a Dockerized FastAPI microservice on cloud GPUs and integrated with the speech-therapy platform.
AI Student Engineer at National University Health System (NUHS)
November 1, 2024 - October 12, 2025Architected and developed an AI-powered speech-therapy platform (Express.js backend, React Native client, React dashboard, PostgreSQL DB, OpenAI Whisper, OpenAI GPT-4o). Fine-tuned Whisper-Small model, improving Word Error Rate (WER) by 7.7%. Deployed the fine-tuned Whisper model as a Dockerized FastAPI microservice on cloud GPUs and integrated with the speech-therapy platform. Collaborated with healthcare stakeholders to refine requirements and ensure system meets patient and practitioner needs.
AI Student Engineer at National University Health System (NUHS)
November 1, 2024 - October 12, 2025Architected and developed an AI-powered speech-therapy platform (Express.js backend, React Native client, React dashboard, PostgreSQL DB, OpenAI Whisper, OpenAI GPT-4o); fine-tuned Whisper-Small model, improving Word Error Rate (WER) by 7.7%; deployed the fine-tuned Whisper model as a Dockerized FastAPI microservice on cloud GPUs and integrated with the speech-therapy platform; collaborated with healthcare stakeholders to refine requirements and ensure system meets patient and practitioner needs.
AI Student Engineer at National University Health System (NUHS), Singapore
November 1, 2024 - October 12, 2025Architected and developed an AI-powered speech-therapy platform (Express.js backend, React Native client, React dashboard, PostgreSQL DB, OpenAI Whisper, OpenAI GPT-4o). Fine-tuned Whisper-Small model, improving Word Error Rate (WER) by 7.7%. Deployed the fine-tuned Whisper model as a Dockerized FastAPI microservice on cloud GPUs and integrated with the speech-therapy platform.
Education
B.Eng. (Hons.) Information and Communications Technology (Software Engineering) — Honours with Distinction (Expected) at Singapore Institute of Technology
August 1, 2022 - April 1, 2026B.Eng. (Hons.) Information and Communications Technology (Software Engineering) — Honours with Distinction (Expected) at Singapore Institute of Technology, Singapore
August 1, 2022 - April 1, 2026B.Eng. (Hons.) Information and Communications Technology (Software Engineering) — Honours with Distinction at Singapore Institute of Technology
August 1, 2022 - April 1, 2026B.Eng. (Hons.) Information and Communications Technology (Software Engineering) at Singapore Institute of Technology, Singapore
August 1, 2022 - April 1, 2026Qualifications
Industry Experience
Software & Internet, Healthcare, Education, Professional Services, Government
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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